History of Dictionary Searches using Damerau-Levenshtein distance in T-SQL
Fuzzy-string Searches
(up to 100 most recent)
for
"crosshair"
| Num | Started At (CA time) | Searched Word | Change Limit | Words Checked | Words Matched | Seconds | Words Per Sec |
| 434 | 2025-11-03 05:44:31 | crosshair | 1 | 81242 | 2 | 1.500 | 54161.3 |
| 433 | 2025-10-31 17:17:19 | crosshair | 1 | 81242 | 2 | 1.440 | 56418.1 |
| 432 | 2025-10-30 02:10:28 | crosshair | 4 | 165329 | 101 | 13.530 | 12219.4 |
| 431 | 2025-10-22 20:33:54 | crosshair | 1 | 81242 | 2 | 9.830 | 8264.7 |
| 430 | 2025-10-19 22:30:31 | crosshair | 1 | 81242 | 2 | 3.700 | 21957.3 |
| 429 | 2025-10-19 00:16:03 | crosshair | 4 | 165329 | 101 | 12.063 | 13705.5 |
| 428 | 2025-10-18 22:39:59 | crosshair | 1 | 81242 | 2 | 1.500 | 54161.3 |
| 427 | 2025-10-18 13:39:03 | crosshair | 2 | 121436 | 3 | 3.736 | 32504.3 |
| 426 | 2025-10-18 06:16:04 | crosshair | 3 | 148641 | 20 | 7.203 | 20636.0 |
| 425 | 2025-10-17 05:01:08 | crosshair | 1 | 81242 | 2 | 1.326 | 61268.5 |
| 424 | 2025-10-16 10:50:16 | crosshair | 1 | 81242 | 2 | 1.296 | 62686.7 |
| 423 | 2025-10-14 09:19:50 | crosshair | 1 | 81242 | 2 | 1.500 | 54161.3 |
| 422 | 2025-10-11 01:28:58 | crosshair | 1 | 81242 | 2 | 1.470 | 55266.7 |
| 421 | 2025-10-08 08:25:02 | crosshair | 2 | 121436 | 3 | 3.233 | 37561.4 |
| 420 | 2025-10-07 10:16:56 | crosshair | 1 | 81242 | 2 | 1.406 | 57782.4 |
| 419 | 2025-10-06 21:01:23 | crosshair | 4 | 165329 | 101 | 12.046 | 13724.8 |
| 418 | 2025-10-06 09:21:45 | crosshair | 2 | 121436 | 3 | 3.360 | 36141.7 |
| 417 | 2025-10-05 10:23:00 | crosshair | 3 | 148641 | 20 | 7.140 | 20818.1 |
| 416 | 2025-10-02 12:03:27 | crosshair | 1 | 81242 | 2 | 1.453 | 55913.3 |
| 415 | 2025-09-29 14:48:09 | crosshair | 1 | 81242 | 2 | 6.750 | 12035.9 |
| 414 | 2025-09-22 15:23:46 | crosshair | 1 | 81242 | 2 | 1.486 | 54671.6 |
| 413 | 2025-09-17 22:25:27 | crosshair | 1 | 81242 | 2 | 1.546 | 52549.8 |
| 412 | 2025-09-16 09:36:57 | crosshair | 1 | 81242 | 2 | 1.516 | 53589.7 |
| 411 | 2025-09-15 04:36:29 | crosshair | 1 | 81242 | 2 | 1.403 | 57905.9 |
| 410 | 2025-09-07 17:00:54 | crosshair | 1 | 81242 | 2 | 1.420 | 57212.7 |
| 409 | 2025-09-07 09:33:24 | crosshair | 1 | 81242 | 2 | 2.326 | 34927.8 |
| 408 | 2025-09-04 17:30:48 | crosshair | 1 | 81242 | 2 | 1.420 | 57212.7 |
| 407 | 2025-09-03 07:17:35 | crosshair | 1 | 81242 | 2 | 6.093 | 13333.7 |
| 406 | 2025-08-28 14:30:30 | crosshair | 1 | 81242 | 2 | 2.623 | 30972.9 |
| 405 | 2025-08-28 09:36:02 | crosshair | 1 | 81242 | 2 | 1.483 | 54782.2 |
| 404 | 2025-08-23 14:20:04 | crosshair | 1 | 81242 | 2 | 5.203 | 15614.5 |
| 403 | 2025-08-16 22:35:36 | crosshair | 1 | 81242 | 2 | 3.140 | 25873.2 |
| 402 | 2025-07-25 07:11:43 | crosshair | 1 | 81242 | 2 | 2.876 | 28248.3 |
| 401 | 2025-07-25 06:52:35 | crosshair | 1 | 81242 | 2 | 4.580 | 17738.4 |
| 400 | 2025-07-24 15:28:11 | crosshair | 1 | 81242 | 2 | 9.830 | 8264.7 |
| 399 | 2025-07-24 03:15:25 | crosshair | 1 | 81242 | 2 | 6.690 | 12143.8 |
| 398 | 2025-07-17 21:44:31 | crosshair | 1 | 81242 | 2 | 4.000 | 20310.5 |
| 397 | 2025-06-06 07:18:16 | crosshair | 3 | 148641 | 20 | 45.816 | 3244.3 |
| 396 | 2025-06-06 05:43:49 | crosshair | 2 | 121436 | 3 | 18.860 | 6438.8 |
| 395 | 2025-06-05 09:15:01 | crosshair | 1 | 81242 | 2 | 6.593 | 12322.5 |
| 394 | 2025-05-12 03:41:05 | crosshair | 3 | 148641 | 20 | 46.923 | 3167.8 |
| 393 | 2025-05-04 10:17:31 | crosshair | 3 | 148641 | 20 | 41.050 | 3621.0 |
| 392 | 2025-05-04 02:43:47 | crosshair | 3 | 148641 | 20 | 37.363 | 3978.3 |
| 391 | 2025-05-04 01:24:10 | crosshair | 2 | 121436 | 3 | 14.940 | 8128.2 |
| 390 | 2025-05-03 17:57:10 | crosshair | 1 | 81242 | 2 | 1.360 | 59736.8 |
| 389 | 2025-05-03 09:24:07 | crosshair | 1 | 81242 | 2 | 1.500 | 54161.3 |
| 388 | 2025-04-12 19:17:06 | crosshair | 1 | 81242 | 2 | 1.466 | 55417.5 |
| 387 | 2025-04-02 23:30:55 | crosshair | 1 | 81242 | 2 | 6.813 | 11924.6 |
| 386 | 2025-03-31 11:42:12 | crosshair | 1 | 81242 | 2 | 8.156 | 9961.0 |
| 385 | 2025-03-23 20:43:24 | crosshair | 2 | 121436 | 3 | 18.656 | 6509.2 |
| 384 | 2025-03-22 02:30:41 | crosshair | 1 | 81242 | 2 | 1.250 | 64993.6 |
| 383 | 2025-03-21 05:01:32 | crosshair | 3 | 148641 | 20 | 22.580 | 6582.9 |
| 382 | 2025-03-21 01:42:46 | crosshair | 3 | 148641 | 20 | 36.126 | 4114.5 |
| 381 | 2025-03-20 16:22:43 | crosshair | 1 | 81242 | 2 | 5.343 | 15205.3 |
| 380 | 2025-03-15 19:04:23 | crosshair | 1 | 81242 | 2 | 6.266 | 12965.5 |
| 379 | 2025-03-09 09:23:19 | crosshair | 3 | 148641 | 20 | 29.630 | 5016.6 |
| 378 | 2025-03-09 09:23:18 | crosshair | 2 | 121436 | 3 | 14.143 | 8586.3 |
| 377 | 2025-03-09 09:19:28 | crosshair | 1 | 81242 | 2 | 4.080 | 19912.3 |
| 376 | 2025-03-09 04:22:24 | crosshair | 4 | 165329 | 101 | 62.206 | 2657.8 |
| 375 | 2025-03-08 21:54:17 | crosshair | 4 | 165329 | 101 | 65.863 | 2510.2 |
| 374 | 2025-03-08 10:29:57 | crosshair | 4 | 165329 | 101 | 56.330 | 2935.0 |
| 373 | 2025-02-27 08:37:30 | crosshair | 1 | 81242 | 2 | 3.940 | 20619.8 |
| 372 | 2025-02-22 16:51:27 | crosshair | 1 | 81242 | 2 | 5.393 | 15064.3 |
| 371 | 2025-02-09 16:24:57 | crosshair | 4 | 165329 | 101 | 61.660 | 2681.3 |
| 370 | 2025-02-08 05:18:44 | crosshair | 4 | 165329 | 101 | 65.110 | 2539.2 |
| 369 | 2025-02-03 11:56:30 | crosshair | 2 | 121436 | 3 | 14.626 | 8302.7 |
| 368 | 2025-02-03 11:53:29 | crosshair | 1 | 81242 | 2 | 1.326 | 61268.5 |
| 367 | 2025-02-02 20:06:21 | crosshair | 4 | 165329 | 101 | 71.270 | 2319.8 |
| 366 | 2025-02-02 15:44:32 | crosshair | 1 | 81242 | 2 | 8.716 | 9321.0 |
| 365 | 2025-02-02 10:00:37 | crosshair | 3 | 148641 | 20 | 29.046 | 5117.4 |
| 364 | 2025-02-01 15:54:50 | crosshair | 3 | 148641 | 20 | 35.190 | 4224.0 |
| 363 | 2025-01-30 21:20:12 | crosshair | 3 | 148641 | 20 | 35.220 | 4220.4 |
| 362 | 2025-01-25 05:12:14 | crosshair | 3 | 148641 | 20 | 18.063 | 8229.0 |
| 361 | 2025-01-24 11:57:47 | crosshair | 3 | 148641 | 20 | 35.676 | 4166.4 |
| 360 | 2025-01-23 03:24:22 | crosshair | 4 | 165329 | 101 | 58.983 | 2803.0 |
| 359 | 2025-01-04 15:58:28 | crosshair | 4 | 165329 | 101 | 80.600 | 2051.2 |
| 358 | 2025-01-04 08:34:49 | crosshair | 1 | 81242 | 2 | 10.733 | 7569.4 |
| 357 | 2025-01-03 10:48:41 | crosshair | 2 | 121436 | 3 | 18.266 | 6648.2 |
| 356 | 2025-01-03 10:46:53 | crosshair | 1 | 81242 | 2 | 1.486 | 54671.6 |
| 355 | 2025-01-03 05:17:27 | crosshair | 4 | 165329 | 101 | 76.036 | 2174.4 |
| 354 | 2025-01-02 23:08:07 | crosshair | 4 | 165329 | 101 | 78.096 | 2117.0 |
| 353 | 2025-01-02 23:08:07 | crosshair | 2 | 121436 | 3 | 9.253 | 13124.0 |
| 352 | 2025-01-02 14:16:10 | crosshair | 3 | 148641 | 20 | 18.783 | 7913.6 |
| 351 | 2025-01-01 13:14:18 | crosshair | 1 | 81242 | 2 | 8.936 | 9091.5 |
| 350 | 2024-12-29 12:17:59 | crosshair | 3 | 148641 | 20 | 37.660 | 3946.9 |
| 349 | 2024-12-29 12:18:00 | crosshair | 2 | 121436 | 3 | 18.876 | 6433.4 |
| 348 | 2024-12-29 12:16:39 | crosshair | 1 | 81242 | 2 | 3.313 | 24522.2 |
| 347 | 2024-12-23 20:43:29 | crosshair | 3 | 148641 | 20 | 37.130 | 4003.3 |
| 346 | 2024-12-03 04:08:16 | crosshair | 1 | 81242 | 2 | 6.216 | 13069.8 |
| 345 | 2024-12-01 07:07:12 | crosshair | 3 | 148641 | 20 | 36.783 | 4041.0 |
| 344 | 2024-11-30 18:23:17 | crosshair | 3 | 148641 | 20 | 40.160 | 3701.2 |
| 343 | 2024-11-30 18:23:15 | crosshair | 3 | 148641 | 20 | 37.000 | 4017.3 |
| 342 | 2024-11-30 18:23:02 | crosshair | 1 | 81242 | 2 | 10.063 | 8073.3 |
| 341 | 2024-11-23 14:58:32 | crosshair | 3 | 148641 | 20 | 30.126 | 4934.0 |
| 340 | 2024-11-11 09:42:28 | crosshair | 2 | 121436 | 3 | 6.593 | 18418.9 |
| 339 | 2024-11-05 14:41:46 | crosshair | 3 | 148641 | 20 | 39.550 | 3758.3 |
| 338 | 2024-11-05 14:41:52 | crosshair | 2 | 121436 | 3 | 16.016 | 7582.2 |
| 337 | 2024-11-05 14:41:31 | crosshair | 1 | 81242 | 2 | 3.720 | 21839.2 |
| 336 | 2024-10-28 18:44:30 | crosshair | 3 | 148641 | 20 | 35.940 | 4135.8 |
| 335 | 2024-10-28 18:42:05 | crosshair | 1 | 81242 | 2 | 4.123 | 19704.6 |